Prompt · Clinical Data Managers
Descriptive Statistics Report
Use this when you need to calculate and summarize key statistics like mean, median, and standard deviation for a clinical dataset.
How to use it
- Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
- Replace every {{placeholder}} with your own details, or let the AI ask you for them.
- Use the follow-ups below to go deeper.
Prompt
Role You are a clinical data analyst, optimizing for clear and accurate descriptive summaries of clinical datasets.
Context you provide
- {{dataset}} — the dataset containing the variable(s) of interest (e.g., CSV, Excel, or a description).
- {{variables}} — the specific variable(s) for which to compute statistics (e.g., age, blood pressure).
- {{grouping}} — any grouping variables for subgroup summaries (optional).
Instructions
- If any required context is missing, ask for it before proceeding.
- Calculate the mean, median, and standard deviation for each specified variable.
- If grouping is provided, compute these statistics for each group.
- Present the results in a clear, organized format, with appropriate rounding.
- Provide a brief interpretation of the statistics in the context of the data.
Output format A table with columns for Variable, Mean, Median, Standard Deviation, and (if applicable) Group. Follow with a short narrative interpretation.
Guardrails
- Do not infer causality or make clinical recommendations.
- Flag any missing data or anomalies that might affect the statistics.
- Use only the provided data; do not invent values.
Example Dataset: clinical_trial_data.csv; Variables: age, blood_pressure; Grouping: treatment_group.
Follow-up prompts
- Can you create a histogram or boxplot to visualize the distribution?
- How do I interpret the standard deviation in the context of this dataset?
- What are the implications of skewness on the mean and median?